Sentence examples for assuming the knowledge of from inspiring English sources

In this work an Extended Kalman Filter is explored to estimate the current state of deterioration assuming the knowledge of the operating conditions, input signals, and sensor information.

This paper presents a design method for a state observer of max-plus linear systems based on the observation of the input and the output, by assuming the knowledge of the system matrices.

In a novel relative navigation approach, assuming the knowledge of a single geometric length on the missile, the time-varying target position is obtained by fusing the daisy-chained image measurements of the missile and the target into a homography-based Euclidean reconstruction method.

The numerical simulations of wave propagation are presented with sufficient detail as to be easily implemented assuming the knowledge of scientific programming techniques.

Both the precoders and power allocation schemes were computed at each BS just by assuming the knowledge of local CSI or long-term equivalent channel non-local statistics.

This paper considers the robust waveform design of multiple-input multiple-output (MIMO) radar to enhance targets detection in the presence of signal-dependent interferences assuming the knowledge of steering vectors is imprecise.

Both techniques assume the knowledge of the fundamental diagram and the conditions at both boundaries of the section of interest.

Modern approaches for engine control assume the knowledge of the dynamic properties connecting the engine via driveline to the road.

Unlike most of the existing results, the proposed cooperative control design does not assume the knowledge of any gradient (of the performance index).

To assess the performance of the proposed and other potential estimators, we derive an unconditional Cramér Rao bound (CRB) which, similarly to the proposed blind channel estimator, does not assume the knowledge of the transmitted information symbols.

Kalman-type estimators like extended Kalman filter (EKF) assume the knowledge of model parameters, such as the initial states, state transition matrix and the covariance of process and measurement noise.